| Autor: |
Aikou Okamoto, Kyosuke Yamada, Hirokuni Takano, Motoaki Saito, Ryosuke Saito, Yuka Akiyama, Chihiro Goto, Jason S. Shapiro, Hiromi Komazaki, Misato Saito, Yasushi Iida, Keita Koseki, Tetsuo Ishikawa, Nozomu Yanaihara, Junya Tabata, Eiryo Kawakami |
| Rok vydání: |
2023 |
| Popis: |
Supplemental Figure S1. Explanation and evaluation of the random forest (RF) classifier. (A) Schematic illustration of the classification of samples by the RF. (B, C) Representative classification trees from the discrimination between malignant and benign tumors. These trees are only representations out of 4,000 trees constructed in the RF classifier. The final class is determined as a result of voting by all 4,000 trees. (D, E) The highest accuracy of prediction (D) and the AUC (E) using different numbers of samples in RF classification between malignant and benign tumors. The mean accuracy and AUC with these 95% confidence intervals were presented for 10 independent sets of randomly selected data of 20%, 40%, 60%, and 80% of patients from the training and test cohorts. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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